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| from typing import TYPE_CHECKING | |
| from tenacity import retry, stop_after_attempt, retry_if_exception, wait_fixed | |
| from chromadb.api import ServerAPI | |
| if TYPE_CHECKING: | |
| from chromadb.api.models.AttachedFunction import AttachedFunction | |
| from chromadb.api.collection_configuration import ( | |
| CreateCollectionConfiguration, | |
| UpdateCollectionConfiguration, | |
| create_collection_configuration_to_json, | |
| ) | |
| from chromadb.auth import UserIdentity | |
| from chromadb.config import DEFAULT_DATABASE, DEFAULT_TENANT, Settings, System | |
| from chromadb.db.system import SysDB | |
| from chromadb.quota import QuotaEnforcer, Action | |
| from chromadb.rate_limit import RateLimitEnforcer | |
| from chromadb.segment import SegmentManager | |
| from chromadb.execution.executor.abstract import Executor | |
| from chromadb.execution.expression.operator import Scan, Filter, Limit, KNN, Projection | |
| from chromadb.execution.expression.plan import CountPlan, GetPlan, KNNPlan | |
| from chromadb.telemetry.opentelemetry import ( | |
| add_attributes_to_current_span, | |
| OpenTelemetryClient, | |
| OpenTelemetryGranularity, | |
| trace_method, | |
| ) | |
| from chromadb.telemetry.product import ProductTelemetryClient | |
| from chromadb.ingest import Producer | |
| from chromadb.types import Collection as CollectionModel | |
| from chromadb import __version__ | |
| from chromadb.errors import ( | |
| InvalidDimensionException, | |
| NotFoundError, | |
| VersionMismatchError, | |
| ) | |
| from chromadb.api.types import ( | |
| CollectionMetadata, | |
| IDs, | |
| Embeddings, | |
| Metadatas, | |
| Documents, | |
| ReadLevel, | |
| Schema, | |
| URIs, | |
| Where, | |
| WhereDocument, | |
| Include, | |
| GetResult, | |
| QueryResult, | |
| SearchResult, | |
| validate_metadata, | |
| validate_update_metadata, | |
| validate_where, | |
| validate_where_document, | |
| validate_batch, | |
| IncludeMetadataDocuments, | |
| IncludeMetadataDocumentsDistances, | |
| DeleteResult, | |
| ) | |
| from chromadb.telemetry.product.events import ( | |
| CollectionAddEvent, | |
| CollectionDeleteEvent, | |
| CollectionGetEvent, | |
| CollectionUpdateEvent, | |
| CollectionQueryEvent, | |
| ClientCreateCollectionEvent, | |
| ) | |
| import chromadb.types as t | |
| from typing import ( | |
| Optional, | |
| Sequence, | |
| Generator, | |
| List, | |
| Any, | |
| Dict, | |
| Callable, | |
| TypeVar, | |
| Tuple, | |
| ) | |
| from overrides import override | |
| from uuid import UUID, uuid4 | |
| from functools import wraps | |
| import time | |
| import logging | |
| import re | |
| from chromadb.execution.expression.plan import Search | |
| T = TypeVar("T", bound=Callable[..., Any]) | |
| logger = logging.getLogger(__name__) | |
| # mimics s3 bucket requirements for naming | |
| def check_index_name(index_name: str) -> None: | |
| msg = ( | |
| "Expected collection name that " | |
| "(1) contains 3-63 characters, " | |
| "(2) starts and ends with an alphanumeric character, " | |
| "(3) otherwise contains only alphanumeric characters, underscores or hyphens (-), " | |
| "(4) contains no two consecutive periods (..) and " | |
| "(5) is not a valid IPv4 address, " | |
| f"got {index_name}" | |
| ) | |
| if len(index_name) < 3 or len(index_name) > 63: | |
| raise ValueError(msg) | |
| if not re.match("^[a-zA-Z0-9][a-zA-Z0-9._-]*[a-zA-Z0-9]$", index_name): | |
| raise ValueError(msg) | |
| if ".." in index_name: | |
| raise ValueError(msg) | |
| if re.match("^[0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3}\\.[0-9]{1,3}$", index_name): | |
| raise ValueError(msg) | |
| def rate_limit(func: T) -> T: | |
| def wrapper(*args: Any, **kwargs: Any) -> Any: | |
| self = args[0] | |
| return self._rate_limit_enforcer.rate_limit(func)(*args, **kwargs) | |
| return wrapper # type: ignore | |
| class SegmentAPI(ServerAPI): | |
| """API implementation utilizing the new segment-based internal architecture""" | |
| _settings: Settings | |
| _sysdb: SysDB | |
| _manager: SegmentManager | |
| _executor: Executor | |
| _producer: Producer | |
| _product_telemetry_client: ProductTelemetryClient | |
| _opentelemetry_client: OpenTelemetryClient | |
| _tenant_id: str | |
| _topic_ns: str | |
| _rate_limit_enforcer: RateLimitEnforcer | |
| def __init__(self, system: System): | |
| super().__init__(system) | |
| self._settings = system.settings | |
| self._sysdb = self.require(SysDB) | |
| self._manager = self.require(SegmentManager) | |
| self._executor = self.require(Executor) | |
| self._quota_enforcer = self.require(QuotaEnforcer) | |
| self._product_telemetry_client = self.require(ProductTelemetryClient) | |
| self._opentelemetry_client = self.require(OpenTelemetryClient) | |
| self._producer = self.require(Producer) | |
| self._rate_limit_enforcer = self._system.require(RateLimitEnforcer) | |
| def heartbeat(self) -> int: | |
| return int(time.time_ns()) | |
| def create_database(self, name: str, tenant: str = DEFAULT_TENANT) -> None: | |
| if len(name) < 3: | |
| raise ValueError("Database name must be at least 3 characters long") | |
| self._quota_enforcer.enforce( | |
| action=Action.CREATE_DATABASE, | |
| tenant=tenant, | |
| name=name, | |
| ) | |
| self._sysdb.create_database( | |
| id=uuid4(), | |
| name=name, | |
| tenant=tenant, | |
| ) | |
| def get_database(self, name: str, tenant: str = DEFAULT_TENANT) -> t.Database: | |
| return self._sysdb.get_database(name=name, tenant=tenant) | |
| def delete_database(self, name: str, tenant: str = DEFAULT_TENANT) -> None: | |
| self._sysdb.delete_database(name=name, tenant=tenant) | |
| def list_databases( | |
| self, | |
| limit: Optional[int] = None, | |
| offset: Optional[int] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| ) -> Sequence[t.Database]: | |
| return self._sysdb.list_databases(limit=limit, offset=offset, tenant=tenant) | |
| def create_tenant(self, name: str) -> None: | |
| if len(name) < 3: | |
| raise ValueError("Tenant name must be at least 3 characters long") | |
| self._sysdb.create_tenant( | |
| name=name, | |
| ) | |
| def get_user_identity(self) -> UserIdentity: | |
| return UserIdentity( | |
| user_id="", | |
| tenant=DEFAULT_TENANT, | |
| databases=[DEFAULT_DATABASE], | |
| ) | |
| def get_tenant(self, name: str) -> t.Tenant: | |
| return self._sysdb.get_tenant(name=name) | |
| # TODO: Actually fix CollectionMetadata type to remove type: ignore flags. This is | |
| # necessary because changing the value type from `Any` to`` `Union[str, int, float]` | |
| # causes the system to somehow convert all values to strings. | |
| def create_collection( | |
| self, | |
| name: str, | |
| schema: Optional[Schema] = None, | |
| configuration: Optional[CreateCollectionConfiguration] = None, | |
| metadata: Optional[CollectionMetadata] = None, | |
| get_or_create: bool = False, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> CollectionModel: | |
| if metadata is not None: | |
| validate_metadata(metadata) | |
| # TODO: remove backwards compatibility in naming requirements | |
| check_index_name(name) | |
| self._quota_enforcer.enforce( | |
| action=Action.CREATE_COLLECTION, | |
| tenant=tenant, | |
| name=name, | |
| metadata=metadata, | |
| ) | |
| id = uuid4() | |
| model = CollectionModel( | |
| id=id, | |
| name=name, | |
| metadata=metadata, | |
| serialized_schema=None, | |
| configuration_json=create_collection_configuration_to_json( | |
| configuration or CreateCollectionConfiguration(), metadata | |
| ), | |
| tenant=tenant, | |
| database=database, | |
| dimension=None, | |
| ) | |
| # TODO: Let sysdb create the collection directly from the model | |
| coll, created = self._sysdb.create_collection( | |
| id=model.id, | |
| name=model.name, | |
| schema=schema, | |
| configuration=configuration or CreateCollectionConfiguration(), | |
| segments=[], # Passing empty till backend changes are deployed. | |
| metadata=model.metadata, | |
| dimension=None, # This is lazily populated on the first add | |
| get_or_create=get_or_create, | |
| tenant=tenant, | |
| database=database, | |
| ) | |
| if created: | |
| segments = self._manager.prepare_segments_for_new_collection(coll) | |
| for segment in segments: | |
| self._sysdb.create_segment(segment) | |
| else: | |
| logger.debug( | |
| f"Collection {name} already exists, returning existing collection." | |
| ) | |
| # TODO: This event doesn't capture the get_or_create case appropriately | |
| # TODO: Re-enable embedding function tracking in create_collection | |
| self._product_telemetry_client.capture( | |
| ClientCreateCollectionEvent( | |
| collection_uuid=str(id), | |
| # embedding_function=embedding_function.__class__.__name__, | |
| ) | |
| ) | |
| add_attributes_to_current_span({"collection_uuid": str(id)}) | |
| return coll | |
| def get_or_create_collection( | |
| self, | |
| name: str, | |
| schema: Optional[Schema] = None, | |
| configuration: Optional[CreateCollectionConfiguration] = None, | |
| metadata: Optional[CollectionMetadata] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> CollectionModel: | |
| return self.create_collection( | |
| name=name, | |
| schema=schema, | |
| metadata=metadata, | |
| configuration=configuration, | |
| get_or_create=True, | |
| tenant=tenant, | |
| database=database, | |
| ) | |
| # TODO: Actually fix CollectionMetadata type to remove type: ignore flags. This is | |
| # necessary because changing the value type from `Any` to`` `Union[str, int, float]` | |
| # causes the system to somehow convert all values to strings | |
| def get_collection( | |
| self, | |
| name: Optional[str] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> CollectionModel: | |
| existing = self._sysdb.get_collections( | |
| name=name, tenant=tenant, database=database | |
| ) | |
| if existing: | |
| return existing[0] | |
| else: | |
| raise NotFoundError(f"Collection {name} does not exist.") | |
| def get_collection_by_id( | |
| self, | |
| collection_id: UUID, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> CollectionModel: | |
| existing = self._sysdb.get_collections( | |
| id=collection_id, tenant=tenant, database=database | |
| ) | |
| if existing: | |
| return existing[0] | |
| else: | |
| raise NotFoundError(f"Collection {collection_id} does not exist.") | |
| def list_collections( | |
| self, | |
| limit: Optional[int] = None, | |
| offset: Optional[int] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> Sequence[CollectionModel]: | |
| self._quota_enforcer.enforce( | |
| action=Action.LIST_COLLECTIONS, | |
| tenant=tenant, | |
| limit=limit, | |
| ) | |
| return self._sysdb.get_collections( | |
| limit=limit, offset=offset, tenant=tenant, database=database | |
| ) | |
| def count_collections( | |
| self, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> int: | |
| return self._sysdb.count_collections(tenant=tenant, database=database) | |
| def _modify( | |
| self, | |
| id: UUID, | |
| new_name: Optional[str] = None, | |
| new_metadata: Optional[CollectionMetadata] = None, | |
| new_configuration: Optional[UpdateCollectionConfiguration] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> None: | |
| if new_name: | |
| # backwards compatibility in naming requirements (for now) | |
| check_index_name(new_name) | |
| if new_metadata: | |
| validate_update_metadata(new_metadata) | |
| # Ensure the collection exists | |
| _ = self._get_collection(id) | |
| self._quota_enforcer.enforce( | |
| action=Action.UPDATE_COLLECTION, | |
| tenant=tenant, | |
| name=new_name, | |
| metadata=new_metadata, | |
| ) | |
| # TODO eventually we'll want to use OptionalArgument and Unspecified in the | |
| # signature of `_modify` but not changing the API right now. | |
| if new_name and new_metadata and new_configuration: | |
| self._sysdb.update_collection( | |
| id, | |
| name=new_name, | |
| metadata=new_metadata, | |
| configuration=new_configuration, | |
| ) | |
| elif new_name and new_metadata: | |
| self._sysdb.update_collection(id, name=new_name, metadata=new_metadata) | |
| elif new_name and new_configuration: | |
| self._sysdb.update_collection( | |
| id, name=new_name, configuration=new_configuration | |
| ) | |
| elif new_metadata and new_configuration: | |
| self._sysdb.update_collection( | |
| id, metadata=new_metadata, configuration=new_configuration | |
| ) | |
| elif new_name: | |
| self._sysdb.update_collection(id, name=new_name) | |
| elif new_metadata: | |
| self._sysdb.update_collection(id, metadata=new_metadata) | |
| elif new_configuration: | |
| self._sysdb.update_collection(id, configuration=new_configuration) | |
| def _fork( | |
| self, | |
| collection_id: UUID, | |
| new_name: str, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> CollectionModel: | |
| raise NotImplementedError( | |
| "Collection forking is not implemented for SegmentAPI" | |
| ) | |
| def _fork_count( | |
| self, | |
| collection_id: UUID, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> int: | |
| raise NotImplementedError( | |
| "Fork count is not implemented for SegmentAPI" | |
| ) | |
| def _get_indexing_status( | |
| self, | |
| collection_id: UUID, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> "IndexingStatus": | |
| raise NotImplementedError("Indexing status is not implemented for SegmentAPI") | |
| def _search( | |
| self, | |
| collection_id: UUID, | |
| searches: List[Search], | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| read_level: ReadLevel = ReadLevel.INDEX_AND_WAL, | |
| ) -> SearchResult: | |
| raise NotImplementedError("Search is not implemented for SegmentAPI") | |
| def delete_collection( | |
| self, | |
| name: str, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> None: | |
| existing = self._sysdb.get_collections( | |
| name=name, tenant=tenant, database=database | |
| ) | |
| if existing: | |
| self._manager.delete_segments(existing[0].id) | |
| self._sysdb.delete_collection( | |
| existing[0].id, tenant=tenant, database=database | |
| ) | |
| else: | |
| raise ValueError(f"Collection {name} does not exist.") | |
| def _add( | |
| self, | |
| ids: IDs, | |
| collection_id: UUID, | |
| embeddings: Embeddings, | |
| metadatas: Optional[Metadatas] = None, | |
| documents: Optional[Documents] = None, | |
| uris: Optional[URIs] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> bool: | |
| coll = self._get_collection(collection_id) | |
| self._manager.hint_use_collection(collection_id, t.Operation.ADD) | |
| validate_batch( | |
| (ids, embeddings, metadatas, documents, uris), | |
| {"max_batch_size": self.get_max_batch_size()}, | |
| ) | |
| records_to_submit = list( | |
| _records( | |
| t.Operation.ADD, | |
| ids=ids, | |
| embeddings=embeddings, | |
| metadatas=metadatas, | |
| documents=documents, | |
| uris=uris, | |
| ) | |
| ) | |
| self._validate_embedding_record_set(coll, records_to_submit) | |
| self._quota_enforcer.enforce( | |
| action=Action.ADD, | |
| tenant=tenant, | |
| ids=ids, | |
| embeddings=embeddings, | |
| metadatas=metadatas, | |
| documents=documents, | |
| uris=uris, | |
| collection_id=collection_id, | |
| ) | |
| self._producer.submit_embeddings(collection_id, records_to_submit) | |
| self._product_telemetry_client.capture( | |
| CollectionAddEvent( | |
| collection_uuid=str(collection_id), | |
| add_amount=len(ids), | |
| with_metadata=len(ids) if metadatas is not None else 0, | |
| with_documents=len(ids) if documents is not None else 0, | |
| with_uris=len(ids) if uris is not None else 0, | |
| ) | |
| ) | |
| return True | |
| def _update( | |
| self, | |
| collection_id: UUID, | |
| ids: IDs, | |
| embeddings: Optional[Embeddings] = None, | |
| metadatas: Optional[Metadatas] = None, | |
| documents: Optional[Documents] = None, | |
| uris: Optional[URIs] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> bool: | |
| coll = self._get_collection(collection_id) | |
| self._manager.hint_use_collection(collection_id, t.Operation.UPDATE) | |
| validate_batch( | |
| (ids, embeddings, metadatas, documents, uris), | |
| {"max_batch_size": self.get_max_batch_size()}, | |
| ) | |
| records_to_submit = list( | |
| _records( | |
| t.Operation.UPDATE, | |
| ids=ids, | |
| embeddings=embeddings, | |
| metadatas=metadatas, | |
| documents=documents, | |
| uris=uris, | |
| ) | |
| ) | |
| self._validate_embedding_record_set(coll, records_to_submit) | |
| self._quota_enforcer.enforce( | |
| action=Action.UPDATE, | |
| tenant=tenant, | |
| ids=ids, | |
| embeddings=embeddings, | |
| metadatas=metadatas, | |
| documents=documents, | |
| uris=uris, | |
| ) | |
| self._producer.submit_embeddings(collection_id, records_to_submit) | |
| self._product_telemetry_client.capture( | |
| CollectionUpdateEvent( | |
| collection_uuid=str(collection_id), | |
| update_amount=len(ids), | |
| with_embeddings=len(embeddings) if embeddings else 0, | |
| with_metadata=len(metadatas) if metadatas else 0, | |
| with_documents=len(documents) if documents else 0, | |
| with_uris=len(uris) if uris else 0, | |
| ) | |
| ) | |
| return True | |
| def _upsert( | |
| self, | |
| collection_id: UUID, | |
| ids: IDs, | |
| embeddings: Embeddings, | |
| metadatas: Optional[Metadatas] = None, | |
| documents: Optional[Documents] = None, | |
| uris: Optional[URIs] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> bool: | |
| coll = self._get_collection(collection_id) | |
| self._manager.hint_use_collection(collection_id, t.Operation.UPSERT) | |
| validate_batch( | |
| (ids, embeddings, metadatas, documents, uris), | |
| {"max_batch_size": self.get_max_batch_size()}, | |
| ) | |
| records_to_submit = list( | |
| _records( | |
| t.Operation.UPSERT, | |
| ids=ids, | |
| embeddings=embeddings, | |
| metadatas=metadatas, | |
| documents=documents, | |
| uris=uris, | |
| ) | |
| ) | |
| self._validate_embedding_record_set(coll, records_to_submit) | |
| self._quota_enforcer.enforce( | |
| action=Action.UPSERT, | |
| tenant=tenant, | |
| ids=ids, | |
| embeddings=embeddings, | |
| metadatas=metadatas, | |
| documents=documents, | |
| uris=uris, | |
| collection_id=collection_id, | |
| ) | |
| self._producer.submit_embeddings(collection_id, records_to_submit) | |
| return True | |
| def _get( | |
| self, | |
| collection_id: UUID, | |
| ids: Optional[IDs] = None, | |
| where: Optional[Where] = None, | |
| limit: Optional[int] = None, | |
| offset: Optional[int] = None, | |
| where_document: Optional[WhereDocument] = None, | |
| include: Include = IncludeMetadataDocuments, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> GetResult: | |
| add_attributes_to_current_span( | |
| { | |
| "collection_id": str(collection_id), | |
| "ids_count": len(ids) if ids else 0, | |
| } | |
| ) | |
| scan = self._scan(collection_id) | |
| # TODO: Replace with unified validation | |
| if where is not None: | |
| validate_where(where) | |
| if where_document is not None: | |
| validate_where_document(where_document) | |
| self._quota_enforcer.enforce( | |
| action=Action.GET, | |
| tenant=tenant, | |
| ids=ids, | |
| where=where, | |
| where_document=where_document, | |
| limit=limit, | |
| ) | |
| ids_amount = len(ids) if ids else 0 | |
| self._product_telemetry_client.capture( | |
| CollectionGetEvent( | |
| collection_uuid=str(collection_id), | |
| ids_count=ids_amount, | |
| limit=limit if limit else 0, | |
| include_metadata=ids_amount if "metadatas" in include else 0, | |
| include_documents=ids_amount if "documents" in include else 0, | |
| include_uris=ids_amount if "uris" in include else 0, | |
| ) | |
| ) | |
| return self._executor.get( | |
| GetPlan( | |
| scan, | |
| Filter(ids, where, where_document), | |
| Limit(offset or 0, limit), | |
| Projection( | |
| "documents" in include, | |
| "embeddings" in include, | |
| "metadatas" in include, | |
| False, | |
| "uris" in include, | |
| ), | |
| ) | |
| ) | |
| def _delete( | |
| self, | |
| collection_id: UUID, | |
| ids: Optional[IDs] = None, | |
| where: Optional[Where] = None, | |
| where_document: Optional[WhereDocument] = None, | |
| limit: Optional[int] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> DeleteResult: | |
| add_attributes_to_current_span( | |
| { | |
| "collection_id": str(collection_id), | |
| "ids_count": len(ids) if ids else 0, | |
| } | |
| ) | |
| # TODO: Replace with unified validation | |
| if where is not None: | |
| validate_where(where) | |
| if where_document is not None: | |
| validate_where_document(where_document) | |
| # You must have at least one of non-empty ids, where, or where_document. | |
| if ( | |
| (ids is None or (ids is not None and len(ids) == 0)) | |
| and (where is None or (where is not None and len(where) == 0)) | |
| and ( | |
| where_document is None | |
| or (where_document is not None and len(where_document) == 0) | |
| ) | |
| ): | |
| raise ValueError( | |
| """ | |
| You must provide either ids, where, or where_document to delete. If | |
| you want to delete all data in a collection you can delete the | |
| collection itself using the delete_collection method. Or alternatively, | |
| you can get() all the relevant ids and then delete them. | |
| """ | |
| ) | |
| scan = self._scan(collection_id) | |
| self._quota_enforcer.enforce( | |
| action=Action.DELETE, | |
| tenant=tenant, | |
| ids=ids, | |
| where=where, | |
| where_document=where_document, | |
| ) | |
| self._manager.hint_use_collection(collection_id, t.Operation.DELETE) | |
| if (where or where_document) or not ids: | |
| ids_to_delete = self._executor.get( | |
| GetPlan(scan, Filter(ids, where, where_document)) | |
| )["ids"] | |
| else: | |
| ids_to_delete = ids | |
| # Apply limit if specified (validated upstream, but enforce defensively) | |
| if limit is not None: | |
| if not isinstance(limit, int) or isinstance(limit, bool) or limit < 0: | |
| raise ValueError("limit must be a non-negative integer") | |
| if where is None and where_document is None: | |
| raise ValueError( | |
| "limit can only be specified when a where or where_document clause is provided" | |
| ) | |
| ids_to_delete = ids_to_delete[:limit] | |
| if len(ids_to_delete) == 0: | |
| return DeleteResult(deleted=0) | |
| records_to_submit = list( | |
| _records(operation=t.Operation.DELETE, ids=ids_to_delete) | |
| ) | |
| self._validate_embedding_record_set(scan.collection, records_to_submit) | |
| self._producer.submit_embeddings(collection_id, records_to_submit) | |
| deleted_count = len(ids_to_delete) | |
| self._product_telemetry_client.capture( | |
| CollectionDeleteEvent( | |
| collection_uuid=str(collection_id), delete_amount=deleted_count | |
| ) | |
| ) | |
| return DeleteResult(deleted=deleted_count) | |
| def _count( | |
| self, | |
| collection_id: UUID, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| read_level: ReadLevel = ReadLevel.INDEX_AND_WAL, | |
| ) -> int: | |
| add_attributes_to_current_span({"collection_id": str(collection_id)}) | |
| return self._executor.count(CountPlan(self._scan(collection_id))) | |
| # We retry on version mismatch errors because the version of the collection | |
| # may have changed between the time we got the version and the time we | |
| # actually query the collection on the FE. We are fine with fixed | |
| # wait time because the version mismatch error is not a error due to | |
| # network issues or other transient issues. It is a result of the | |
| # collection being updated between the time we got the version and | |
| # the time we actually query the collection on the FE. | |
| def _query( | |
| self, | |
| collection_id: UUID, | |
| query_embeddings: Embeddings, | |
| ids: Optional[IDs] = None, | |
| n_results: int = 10, | |
| where: Optional[Where] = None, | |
| where_document: Optional[WhereDocument] = None, | |
| include: Include = IncludeMetadataDocumentsDistances, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> QueryResult: | |
| add_attributes_to_current_span( | |
| { | |
| "collection_id": str(collection_id), | |
| "n_results": n_results, | |
| "where": str(where), | |
| } | |
| ) | |
| query_amount = len(query_embeddings) | |
| ids_amount = len(ids) if ids else 0 | |
| self._product_telemetry_client.capture( | |
| CollectionQueryEvent( | |
| collection_uuid=str(collection_id), | |
| query_amount=query_amount, | |
| filtered_ids_amount=ids_amount, | |
| n_results=n_results, | |
| with_metadata_filter=query_amount if where is not None else 0, | |
| with_document_filter=query_amount if where_document is not None else 0, | |
| include_metadatas=query_amount if "metadatas" in include else 0, | |
| include_documents=query_amount if "documents" in include else 0, | |
| include_uris=query_amount if "uris" in include else 0, | |
| include_distances=query_amount if "distances" in include else 0, | |
| ) | |
| ) | |
| # TODO: Replace with unified validation | |
| if where is not None: | |
| validate_where(where) | |
| if where_document is not None: | |
| validate_where_document(where_document) | |
| scan = self._scan(collection_id) | |
| for embedding in query_embeddings: | |
| self._validate_dimension(scan.collection, len(embedding), update=False) | |
| self._quota_enforcer.enforce( | |
| action=Action.QUERY, | |
| tenant=tenant, | |
| where=where, | |
| where_document=where_document, | |
| query_embeddings=query_embeddings, | |
| n_results=n_results, | |
| ) | |
| return self._executor.knn( | |
| KNNPlan( | |
| scan, | |
| KNN(query_embeddings, n_results), | |
| Filter(None, where, where_document), | |
| Projection( | |
| "documents" in include, | |
| "embeddings" in include, | |
| "metadatas" in include, | |
| "distances" in include, | |
| "uris" in include, | |
| ), | |
| ) | |
| ) | |
| def _peek( | |
| self, | |
| collection_id: UUID, | |
| n: int = 10, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> GetResult: | |
| add_attributes_to_current_span({"collection_id": str(collection_id)}) | |
| return self._get(collection_id, limit=n) # type: ignore | |
| def get_version(self) -> str: | |
| return __version__ | |
| def reset_state(self) -> None: | |
| pass | |
| def reset(self) -> bool: | |
| self._system.reset_state() | |
| return True | |
| def get_settings(self) -> Settings: | |
| return self._settings | |
| def get_max_batch_size(self) -> int: | |
| return self._producer.max_batch_size | |
| def attach_function( | |
| self, | |
| function_id: str, | |
| name: str, | |
| input_collection_id: UUID, | |
| output_collection: str, | |
| params: Optional[Dict[str, Any]] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> Tuple["AttachedFunction", bool]: | |
| """Attached functions are not supported in the Segment API (local embedded mode).""" | |
| raise NotImplementedError( | |
| "Attached functions are only supported when connecting to a Chroma server via HttpClient. " | |
| "The Segment API (embedded mode) does not support attached function operations." | |
| ) | |
| def get_attached_function( | |
| self, | |
| name: str, | |
| input_collection_id: UUID, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> "AttachedFunction": | |
| """Attached functions are not supported in the Segment API (local embedded mode).""" | |
| raise NotImplementedError( | |
| "Attached functions are only supported when connecting to a Chroma server via HttpClient. " | |
| "The Segment API (embedded mode) does not support attached function operations." | |
| ) | |
| def detach_function( | |
| self, | |
| name: str, | |
| input_collection_id: UUID, | |
| delete_output: bool = False, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> bool: | |
| """Attached functions are not supported in the Segment API (local embedded mode).""" | |
| raise NotImplementedError( | |
| "Attached functions are only supported when connecting to a Chroma server via HttpClient. " | |
| "The Segment API (embedded mode) does not support attached function operations." | |
| ) | |
| # TODO: This could potentially cause race conditions in a distributed version of the | |
| # system, since the cache is only local. | |
| # TODO: promote collection -> topic to a base class method so that it can be | |
| # used for channel assignment in the distributed version of the system. | |
| def _validate_embedding_record_set( | |
| self, collection: t.Collection, records: List[t.OperationRecord] | |
| ) -> None: | |
| """Validate the dimension of an embedding record before submitting it to the system.""" | |
| add_attributes_to_current_span({"collection_id": str(collection["id"])}) | |
| for record in records: | |
| if record["embedding"] is not None: | |
| self._validate_dimension( | |
| collection, len(record["embedding"]), update=True | |
| ) | |
| # This method is intentionally left untraced because otherwise it can emit thousands of spans for requests containing many embeddings. | |
| def _validate_dimension( | |
| self, collection: t.Collection, dim: int, update: bool | |
| ) -> None: | |
| """Validate that a collection supports records of the given dimension. If update | |
| is true, update the collection if the collection doesn't already have a | |
| dimension.""" | |
| if collection["dimension"] is None: | |
| if update: | |
| id = collection.id | |
| self._sysdb.update_collection(id=id, dimension=dim) | |
| collection["dimension"] = dim | |
| elif collection["dimension"] != dim: | |
| raise InvalidDimensionException( | |
| f"Embedding dimension {dim} does not match collection dimensionality {collection['dimension']}" | |
| ) | |
| else: | |
| return # all is well | |
| def _get_collection(self, collection_id: UUID) -> t.Collection: | |
| collections = self._sysdb.get_collections(id=collection_id) | |
| if not collections or len(collections) == 0: | |
| raise NotFoundError(f"Collection {collection_id} does not exist.") | |
| return collections[0] | |
| def _scan(self, collection_id: UUID) -> Scan: | |
| collection_and_segments = self._sysdb.get_collection_with_segments( | |
| collection_id | |
| ) | |
| # For now collection should have exactly one segment per scope: | |
| # - Local scopes: vector, metadata | |
| # - Distributed scopes: vector, metadata, record | |
| scope_to_segment = { | |
| segment["scope"]: segment for segment in collection_and_segments["segments"] | |
| } | |
| return Scan( | |
| collection=collection_and_segments["collection"], | |
| knn=scope_to_segment[t.SegmentScope.VECTOR], | |
| metadata=scope_to_segment[t.SegmentScope.METADATA], | |
| # Local chroma do not have record segment, and this is not used by the local executor | |
| record=scope_to_segment.get(t.SegmentScope.RECORD, None), # type: ignore[arg-type] | |
| ) | |
| def _records( | |
| operation: t.Operation, | |
| ids: IDs, | |
| embeddings: Optional[Embeddings] = None, | |
| metadatas: Optional[Metadatas] = None, | |
| documents: Optional[Documents] = None, | |
| uris: Optional[URIs] = None, | |
| ) -> Generator[t.OperationRecord, None, None]: | |
| """Convert parallel lists of embeddings, metadatas and documents to a sequence of | |
| SubmitEmbeddingRecords""" | |
| # Presumes that callers were invoked via Collection model, which means | |
| # that we know that the embeddings, metadatas and documents have already been | |
| # normalized and are guaranteed to be consistently named lists. | |
| if embeddings == []: | |
| embeddings = None | |
| for i, id in enumerate(ids): | |
| metadata = None | |
| if metadatas: | |
| metadata = metadatas[i] | |
| if documents: | |
| document = documents[i] | |
| if metadata: | |
| metadata = {**metadata, "chroma:document": document} | |
| else: | |
| metadata = {"chroma:document": document} | |
| if uris: | |
| uri = uris[i] | |
| if metadata: | |
| metadata = {**metadata, "chroma:uri": uri} | |
| else: | |
| metadata = {"chroma:uri": uri} | |
| record = t.OperationRecord( | |
| id=id, | |
| embedding=embeddings[i] if embeddings is not None else None, | |
| encoding=t.ScalarEncoding.FLOAT32, # Hardcode for now | |
| metadata=metadata, | |
| operation=operation, | |
| ) | |
| yield record | |